Practical Machinery Vibration Analysis and Predictive Maintenance

Machines naturally deteriorate with time, leading to performance decline and potential failure. This course focuses on understanding failure mechanisms and utilizing predictive maintenance technologies to detect early signs of deterioration, enabling cost-effective and efficient maintenance strategies.

Key technologies such as vibration analysis, infrared thermography, ultrasonics, tribology, and performance monitoring will be covered to empower maintenance professionals with proactive tools to optimize uptime and reduce unexpected failures.

🎯 Course Objectives

By the end of this course, participants will:
✅ Gain a solid understanding of machine failure analysis techniques
✅ Learn various predictive maintenance technologies and their applications
✅ Understand how to integrate multiple technologies for enhanced maintenance strategies
✅ Receive practical tips for the real-world application of these technologies
✅ Enhance maintenance efficiency while maximizing equipment reliability and production output

👨‍🏭 Who Should Attend?

• Maintenance Supervisors

• Team Leaders

• Engineers & Technicians in Maintenance and Production

• Reliability & Asset Management Professionals

📚 Course Modules

Module 1: Predictive Maintenance Techniques – Part 1 (Fundamentals)

• Maintenance philosophies: Evolution and classification

• Principles and scope of predictive maintenance

• Key techniques overview

• Vibration analysis as a central diagnostic tool

Module 2: Predictive Maintenance Techniques – Part 2 (Vibration Basics)

• Spring-mass-damper systems: Theory and application

• Understanding the nature of vibration and harmonics

• Vibration limits and international standards

Module 3: Data Acquisition

• Basics of vibration data collection

• Vibration transducer characteristics and mounting methods

• Conversion from vibration signals to electrical signals

Module 4: Signal Processing & Applications

• Fast Fourier Transform (FFT)

• Time waveform and phase analysis

• Specialized signal processing techniques

Module 5: Machinery Fault Diagnosis Using Vibration Analysis

• Identifying and diagnosing common machine faults

• Real-world fault examples and interpretation of data

Module 6: Correcting Vibration-Induced Faults

• Introduction to fault correction techniques

• Balancing, alignment, and resonance control using dynamic absorbers

Module 7: Other Predictive Maintenance Techniques

• Overview of advanced technologies

• Ultrasonic monitoring

• Infrared thermography

• Integration of multiple methods for comprehensive diagnostics

🧰 Training Approach

• Practical, example-based delivery

• Diagnostic case studies

• Hands-on data interpretation

• Interactive discussion and Q&A

  🗓 Duration: 5 Days
  🗣 Language: English (Bilingual explanation in Arabic available upon request)
  📍 Delivery Mode: Instructor-led with real-world case studies, diagnostics, and group discussions

  For Further Query and assistance feel free to reach us.

  E: Contracts@najmaconsultancy.com